基于GO-FLOW法的AP1000直流电源系统可靠性分析
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摘要
AP1000核电厂以非能动安全为主要设计特点,其安全相关设备由直流电源或UPS电源供电。故安全功能的实现,强烈依赖于直流电源与UPS系统的可靠度。本文应用GO-FLOW方法,采用IAEA可靠性建议值,分别对正常运行、蓄电池测试和逆变器检修三种运行模式下,不同阶段的直流母线与UPS母线得电概率进行了定量计算。结果表明,直流母线在各种运行模式下均能保证可靠得电;UPS母线的得电可靠性强烈依赖于逆变器的运行失效概率,得电可靠性相对较低。建议探讨改进UPS运行方式或增设逆变器的可能性。
One of the main design features of AP1000 nuclear power plant is passive safety.The realization of its safety-related functions is strongly depended on the reliability of the DC and UPS power system.The essay applies GO-FLOW method to analyze the reliability of AP1000 DC power system during different stages.It builds GO-FLOW module according to its electrical schematics and calculates its reliability using IAEA recommended data.The result shows that AP1000 Class 1E DC bus is reliable enough to realize its safety-related functions in 72 hours after losing all AC power while the reliability of UPS bus is relatively low and is strongly depended on the reliability of the inverter.
One of the main design features of AP1000 nuclear power plant is passive safety.The realization of its safety-related functions is strongly depended on the reliability of the DC and UPS power system.The essay applies GO-FLOW method to analyze the reliability of AP1000 DC power system during different stages.It builds GO-FLOW module according to its electrical schematics and calculates its reliability using IAEA recommended data.The result shows that AP1000 Class 1E DC bus is reliable enough to realize its safety-related functions in 72 hours after losing all AC power while the reliability of UPS bus is relatively low and is strongly depended on the reliability of the inverter.
引文
[1]顾军.AP1000系统与设备FM].北京:原子能出版社,2010:431-440.
[2]杨军,杨明.基于GO-FLOW方法的余热排出系统共因失效分析[J].核动力工程,2014.
[3]沈祖培,黄祥瑞.GO法原理及应用[M].北京:清华大学出版社,2004:156-168.
[4]Bojan Tomic.Component Reliability Data for use in Probabilistic Safety Assessment[R].IAEA-TECDOC-478.1988.
[2]杨军,杨明.基于GO-FLOW方法的余热排出系统共因失效分析[J].核动力工程,2014.
[3]沈祖培,黄祥瑞.GO法原理及应用[M].北京:清华大学出版社,2004:156-168.
[4]Bojan Tomic.Component Reliability Data for use in Probabilistic Safety Assessment[R].IAEA-TECDOC-478.1988.